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Senior Scientific Software Developer (Cheminformatician)

About AQEMIA


AQEMIA is a next-gen pharmatech company generating one of the world's fastest-growing drug discovery pipeline.

Our mission is to design fast innovative drug candidates for dozens of critical diseases, such as immuno-oncology.

Our unique approach leverages quantum-inspired physics algorithms to power generative AI in designing novel drug candidates—without relying on experimental data.


We already delivered several drug discovery successes within our internal pipeline and through collaborations with pharmaceutical companies. Our most advanced programs are currently in vivo optimization.


We are looking for a Scientific Software Developer to strengthen our computational capabilities, enabling the development and optimization of drug candidates.


Our team is composed of skilled professionals operating with an agile mindset, gathering weekly to review our current objectives, share progress, and brainstorm solutions to pressing challenges.


Inside AQEMIA, our mission is to accelerate drug discovery using cutting-edge technology. We leverage a state-of-the-art technology stack that includes Python, RDKit and advanced molecular mechanics tools such as widely-used force fields. Additionally, we integrate a proprietary platform featuring AI-driven and quantum-based predictions, enabling precise and innovative solutions across the drug discovery pipeline.


In this role, you’ll be at the forefront of applying and developing chemoinformatics techniques to support our drug discovery projects. Your contributions will have a direct impact on the identification and optimization of innovative small molecules.


Your Role at AQEMIA
  • Develop and apply computational workflows for virtual screening, molecular property predictions, and compound library design.
  • Collaborate closely with AI and medicinal chemistry teams to integrate cutting-edge algorithms into drug discovery pipelines.
  • Maintain and improve internal chemoinformatics infrastructure, ensuring tools are reliable, scalable and efficient.
  • Stay current with the latest advancements in chemoinformatics and proactively implement best practices to keep AQEMIA at the forefront of the field.

Success in this role will be measured by your ability to deliver high-quality computational insights that accelerate project timelines, the robustness and scalability of the chemoinformatics workflows you develop, and the value you add to interdisciplinary collaborations.


Your Profile
  • Ph.D. or equivalent in Chemistry, Cheminformatics, Computational Chemistry, or related field.
  • 4+ Years of experience in Chemoinformatics: You have experience in molecular modeling, virtual screening, and library design, using tools like RDKit, OpenEye, or similar platforms. Your expertise enables you to select and implement the right methods for diverse drug discovery challenges.
  • Programming Proficiency: You are highly proficient in Python and have experience building scalable, reproducible computational pipelines.
  • Interdisciplinary Communication: You excel at translating complex cheminformatics concepts into actionable strategies for medicinal chemists and AI specialists, fostering effective cross-functional collaboration.
  • Data Analysis and Visualization: Strong data analysis skills, including experience with cheminformatics data interpretation and visualization, to communicate findings clearly.


Preferred Mindset
  • You are driven to actively contribute to Aqemia’s mission of developing life-saving drugs for patients.
  • You bring a proactive and can-do attitude, solving complex problems with enthusiasm and a collaborative spirit.
  • You thrive in a fast-paced, interdisciplinary environment.
  • You are motivated to leverage your skills and knowledge to make a tangible impact.


Why Join Us ?


At AQEMIA, we work for a mission: joining us means having your own impact on changing the way drugs are discovered, and helping to shape the direction of our fast-growing company and team.


Expanding Drug Discovery Pipeline : Focused on critical diseases several types of cancers, with in vivo proof of concept/patent stage programs. Collaborations with top Pharma, including a $140M Sanofi deal.

Interdisciplinary Team : brilliant talent from tech and life sciences.

Experienced Leadership : Founders with 15+ years at ENS, Oxford, Cambridge, and BCG.

DeepTech Recognition: Part of French Tech 120 and France 2030.

Prime Location : Based in central Paris with the possibility of 2 remote days per week.

International Environment : The work language is English - relocation support and French lessons granted if needed.

Strong Financial Backing : $60M raised from leading European deeptech investors

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What You Should Know About Senior Scientific Software Developer (Cheminformatician), Aqemia

Join AQEMIA as a Senior Scientific Software Developer (Cheminformatician) in the vibrant city of Paris! At AQEMIA, we're not just about drug discovery; we're revolutionizing the industry with our innovative approach that harnesses the power of quantum-inspired algorithms and generative AI. Our mission is crystal clear: to craft groundbreaking drug candidates for critical diseases like immuno-oncology. Your role will be instrumental in strengthening our computational capabilities, enabling us to pursue new frontiers in drug design. You’ll collaborate closely with talented team members from various disciplines, focusing on developing and optimizing virtual screening workflows and molecular property predictions. We pride ourselves on our agile and collaborative culture, making room for creative brainstorming sessions that tackle essential challenges. With state-of-the-art technology like Python and RDKit at your fingertips, you'll play a pivotal part in integrating cutting-edge algorithms and maintaining our robust chemoinformatics infrastructure. Your expertise will directly impact our drug discovery pipeline and position AQEMIA at the forefront of the cheminformatics field. If you're looking to make a real impact in science and be part of an exceptional team focused on life-saving innovations, AQEMIA is where you belong. Let’s accelerate drug discovery together and work towards a healthier future!

Frequently Asked Questions (FAQs) for Senior Scientific Software Developer (Cheminformatician) Role at Aqemia
What is the role of a Senior Scientific Software Developer (Cheminformatician) at AQEMIA?

The Senior Scientific Software Developer (Cheminformatician) at AQEMIA is responsible for developing and applying computational workflows that enhance our drug discovery processes, particularly in molecular property predictions, virtual screening, and compound library design. This role collaborates closely with AI and medicinal chemistry teams to integrate advanced algorithms into our projects, allowing for innovative drug candidate design.

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What qualifications are needed for the Senior Scientific Software Developer position at AQEMIA?

To qualify as a Senior Scientific Software Developer (Cheminformatician) at AQEMIA, candidates should possess a Ph.D. or equivalent in Chemistry, Cheminformatics, Computational Chemistry, or related fields along with over four years of relevant experience. Additionally, strong proficiency in Python and familiarity with cheminformatics tools like RDKit are crucial.

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What technologies will I be using as a Senior Scientific Software Developer at AQEMIA?

As a Senior Scientific Software Developer (Cheminformatician) at AQEMIA, you'll work with a variety of cutting-edge technologies, including Python, RDKit, and advanced molecular mechanics tools. You will also interact with our proprietary AI-driven platform and quantum-based prediction tools that support our drug discovery initiatives.

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How does AQEMIA ensure a collaborative work environment for its Senior Scientific Software Developers?

At AQEMIA, we prioritize an agile and interdisciplinary work culture that fosters cooperation among teams. Senior Scientific Software Developers (Cheminformaticians) will participate in weekly catch-ups to share progress, brainstorm, and align on objectives, ensuring that every voice is heard and every idea is valued.

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What kind of impact does a Senior Scientific Software Developer have at AQEMIA?

As a Senior Scientific Software Developer (Cheminformatician) at AQEMIA, your contributions will directly influence the drug discovery process. The workflows you develop and the insights you generate will play a crucial role in speeding up project timelines and optimizing drug candidate identification, making a lasting impact on our mission to develop life-saving therapies.

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What makes AQEMIA a great place to work for a Senior Scientific Software Developer?

AQEMIA stands out for its mission-driven focus on transforming the drug discovery landscape. We offer a stimulating environment in central Paris, a diverse international team, opportunities for remote work, and the chance to work on groundbreaking projects in collaboration with top pharmaceutical companies. Plus, our strong financial backing and recognition in the deep tech sector ensure a promising future.

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What opportunities for professional growth does AQEMIA offer to Senior Scientific Software Developers?

At AQEMIA, we invest in the professional growth of our team members. Senior Scientific Software Developers (Cheminformaticians) will have access to the latest tools and technologies, continuous learning opportunities, and collaborations with industry leaders, all while contributing to pioneering drug discovery research that improves patient outcomes.

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Common Interview Questions for Senior Scientific Software Developer (Cheminformatician)
Can you explain how you use RDKit for cheminformatics projects?

In your answer, highlight specific functionalities of RDKit, such as molecular modeling, virtual screening, and library design. Describe a project where you successfully applied RDKit, detailing the methods you selected and how they addressed the project's challenges.

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What is your approach to building scalable computational pipelines?

Discuss your experience with tools and frameworks that facilitate the creation of scalable pipelines, emphasizing the importance of reproducibility, efficiency, and how you ensure that workflows can be integrated across various platforms and teams.

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How do you stay updated on the latest advancements in cheminformatics?

Mention specific journals, conferences, and online resources you rely on. You can describe a recent trend or innovation that excited you and how you plan to incorporate it into your work at AQEMIA.

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Describe a time when you collaborated with medicinal chemists and AI specialists.

Share a real-life example where effective communication and collaboration led to the successful integration of cheminformatics techniques into a drug discovery project. Highlight your role and the positive outcomes of the teamwork.

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What challenges have you faced in cheminformatics projects and how did you overcome them?

Be honest about a challenge you encountered, such as data quality issues or algorithm selection. Discuss the steps you took to resolve the issue and how those solutions improved the project outcomes.

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What experience do you have with virtual screening processes?

Discuss specific virtual screening tools you've used, the criteria you applied in drug candidate selection, and how your decisions impacted the overall project goals.

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How would you handle discrepancies in cheminformatics data?

Explain your systematic approach to validating and reconciling conflicting data sets, emphasizing your analytical skills and attention to detail, as well as the importance of communication with your team.

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In your opinion, what is the future of cheminformatics in drug discovery?

Share your insights about emerging trends, such as AI applications, machine learning, and the integration of big data in cheminformatics, and articulate how these advancements could impact drug discovery processes.

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What do you believe is the most critical aspect of developing computational workflows?

Highlight the significance of user-centered design, usability, and efficiency. Explain that understanding the end-users' needs is crucial for developing effective computational workflows that have a meaningful impact on drug discovery.

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Can you provide an example of how you have optimized a cheminformatics workflow?

Discuss a specific instance where you identified inefficiencies in an existing workflow, the steps you took to optimize it, and the benefits those changes had, such as reduced runtime or improved accuracy.

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Aqemia is a next-gen pharmatech company generating one of the world's fastest-growing drug discovery pipeline. Our mission is to design fast innovative drug candidates for dozens of critical diseases. Our differentiation lies in our unique quantum...

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DATE POSTED
November 29, 2024

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